A famous quote by Han Solo:
“May the force be with you!”
| Description | Value |
|---|---|
| Species | Human |
| Gender | Male |
| Eye Color | Brown (Later gray) |
| Skin Color | Light |
Baked Tomato Sauce Recipe:
Ingredients:
“Special” kitchen tools required:
Steps:
This recipe is great through the winter. It is also extra-lovely in the late summer.
To add variation, you can make your own breadcrumbs by pulsing a bakery roll for 10 minutes in your food processor.
The Euclidean distance between points p and q is the length of the line segment connecting them (\(\overline{\textbf{pq}}\)).
In Cartesian coordinates, if p = (\(p_1, p_2,..., p_n\)) and q = (\(q_1, q_2,..., q_n\)) are two points in Euclidean n-space, then the distance (d) from p to q, or from q to p is given by the Pythagorean formula:\(^{[1]}\)
\[\begin{equation} \label{eq:someequation} d(\textbf{p, q}) = \textbf{q, p} = \sqrt{(q_1 - p_1)^2 + (q_2 - p_2)^2 + \ldots + (q_n - p_n)^2} \\ = \sqrt{\sum_{i=1}^{n} (q_i - p_i)^2}. \tag{1} \end{equation}\]
The position of a point in a Euclidean n-space is a Euclidean vector. So, p and q may be represented as Euclidean vectors, starting from the origin of the space (initial point) with their tips (terminal points) ending at the two points. The Euclidean norm, or Euclidean length, or magnitude of a vector measures the length of the vector:\(^{[1]}\)
\[\begin{equation} \| \mathbf{\textbf{p}} \| = \sqrt{p_1^2 + p_2^2 + \ldots + p_n^2} = \sqrt{\textbf{p $\cdot$ p}}, \end{equation}\]
where the last expression involves the dot product.